Data anonymization according to the combination of attributes on social network sites

Sanaz Kavianpour, Bharanidharan Shanmugam, Zuraini Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.
Original languageEnglish
Title of host publicationSecurity in computing and communications
Subtitle of host publicationInternational Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings
EditorsSabu M. Thampi, Pradeep K. Atrey, Chun-I Fan, Gregorio Martinez Perez
Place of PublicationBerlin
PublisherSpringer
Pages272-280
Number of pages9
ISBN (Electronic)9783642405761
ISBN (Print)9783642405754
DOIs
Publication statusPublished - 12 Sep 2013
Externally publishedYes
EventInternational Symposium on Security in Computing and Communications - Mysore, India
Duration: 22 Aug 201324 Aug 2013

Publication series

NameCommunication in Computer and Information Science
PublisherSpringer
Volume377
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceInternational Symposium on Security in Computing and Communications
Abbreviated titleSSCC 2013
CountryIndia
CityMysore
Period22/08/1324/08/13

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Information dissemination
Internet
Industry

Cite this

Kavianpour, S., Shanmugam, B., & Ismail, Z. (2013). Data anonymization according to the combination of attributes on social network sites. In S. M. Thampi, P. K. Atrey, C-I. Fan, & G. Martinez Perez (Eds.), Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings (pp. 272-280). (Communication in Computer and Information Science; Vol. 377). Berlin: Springer. https://doi.org/10.1007/978-3-642-40576-1_27
Kavianpour, Sanaz ; Shanmugam, Bharanidharan ; Ismail, Zuraini. / Data anonymization according to the combination of attributes on social network sites. Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. editor / Sabu M. Thampi ; Pradeep K. Atrey ; Chun-I Fan ; Gregorio Martinez Perez. Berlin : Springer, 2013. pp. 272-280 (Communication in Computer and Information Science).
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title = "Data anonymization according to the combination of attributes on social network sites",
abstract = "The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.",
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Kavianpour, S, Shanmugam, B & Ismail, Z 2013, Data anonymization according to the combination of attributes on social network sites. in SM Thampi, PK Atrey, C-I Fan & G Martinez Perez (eds), Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. Communication in Computer and Information Science, vol. 377, Springer, Berlin, pp. 272-280, International Symposium on Security in Computing and Communications, Mysore, India, 22/08/13. https://doi.org/10.1007/978-3-642-40576-1_27

Data anonymization according to the combination of attributes on social network sites. / Kavianpour, Sanaz; Shanmugam, Bharanidharan; Ismail, Zuraini.

Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. ed. / Sabu M. Thampi; Pradeep K. Atrey; Chun-I Fan; Gregorio Martinez Perez. Berlin : Springer, 2013. p. 272-280 (Communication in Computer and Information Science; Vol. 377).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Data anonymization according to the combination of attributes on social network sites

AU - Kavianpour, Sanaz

AU - Shanmugam, Bharanidharan

AU - Ismail, Zuraini

PY - 2013/9/12

Y1 - 2013/9/12

N2 - The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.

AB - The popularity of social network sites has increased extremely during the previous years. Social network sites provide an intimacy interactive platform on the Internet for exchanging information among users. Users may disclose their ideas, comments, pictures or videos, secrets about their business or other private information that may be used by inappropriate user to threaten users’ future decisions or positions. Thus, the goal of this paper is to explain how users’ data can be anonymized to mitigate privacy concerns through information dissemination. The results depicts that although anonymization of data cannot protect the privacy of data completely, it can reduce the possibility of re-identification.

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Kavianpour S, Shanmugam B, Ismail Z. Data anonymization according to the combination of attributes on social network sites. In Thampi SM, Atrey PK, Fan C-I, Martinez Perez G, editors, Security in computing and communications: International Symposium, SSCC 2013, Mysore, India, August 22-24, 2013, Proceedings. Berlin: Springer. 2013. p. 272-280. (Communication in Computer and Information Science). https://doi.org/10.1007/978-3-642-40576-1_27